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北部湾4个自然群体双线紫蛤形态差异与判别分析
引用本文:孙成波,刘建勇,陈梽.北部湾4个自然群体双线紫蛤形态差异与判别分析[J].上海海洋大学学报,2010,19(5):583-587.
作者姓名:孙成波  刘建勇  陈梽
作者单位:广东海洋大学水产学院, 广东 湛江 524088
基金项目:广东省科技计划项目(2007A0204500001)
摘    要:采用3种多元分析方法,对北部湾4个海区双线紫蛤的7个形态性状进行比较研究。聚类分析和主成分分析结果表明,广西钦州和广西北海群体形态最为接近,广西湛江与广东廉江群体形态比较接近,广西北海和广东廉江群体的趋异程度最大。主成分分析表明3个主成分的贡献率为:主成分1为38.395%,主成分2为27.653%,主成分3为20.224%,累积贡献率为86.272%。判别分析结果表明,4个群体间形态差异显著(P<0.01),建立的判别函数的判别准确率P1和P2均为73.30%~90.00%,综合判别率为79.18%。相关分析发现,双线紫蛤群体间的欧氏距离与地理距离之间有一定相关性,相关系数r=0.669 9。

关 键 词:双线紫蛤  地理群体  形态变异  判别分析
收稿时间:2009/8/25 0:00:00

Morphological variations analysis of different geographic populations of Sanguinolaria diphos (Linnaeus) in Beibu Bay of China coast
SUN Cheng-bo,LIU Jian-yong,CHEN Zhi.Morphological variations analysis of different geographic populations of Sanguinolaria diphos (Linnaeus) in Beibu Bay of China coast[J].Journal of Shanghai Ocean University,2010,19(5):583-587.
Authors:SUN Cheng-bo  LIU Jian-yong  CHEN Zhi
Institution:Fisheries College of Guangdong Ocean University, Zhanjiang 524088, China
Abstract:Morphological variations among four geographical populations of Sanguinolaria diphos were analyzed using three multivariation analysis methods using 7 morphometric proportional parameters.The results of clusters analysis and principal component analysis show that Qinzhou and Beihai populations,Zhanjiang and Lianjiang populations were morphological similar,while Beihai and Lianjiang populations were quite different.The contribution rates of the first,second and third principal components(P1,P2 and P2) were 38.395%,27.653% and 20.224%,respectively,and the cumulative contribution rate was 86.272%.Resultsof discriminant analysis show that the morphological differences of the 4 populations were significant(P<0.01).Discriminant functions of the 4 populations were established,and the discriminant accuracy rate of P1 and P2 were from 73.30% to 90.00% and from 73.30% to 90.00%,respectively,and the comprehensive discriminant accuracy rate was 79.18%.Resultsof correlation analysis show that there were significant correlation between the Euclidean distance and the geographical distance(r=0.669 9).
Keywords:Sanguinolaria diphos  populations  morphological variation  discriminant analysis
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